Development and validation of a nomogram for predicting the risk of vasovagal reactions after plasma donation

Abstract

AbstractBackground and ObjectivesVasovagal reactions (VVRs) are the most common adverse reactions and are frequently associated with serious donor adverse events. Even mild VVRs can lead to a significant reduction in the likelihood of subsequent donations. The purpose of this study is to explore the factors related to the occurrence of VVRs after plasma donation and to construct a nomogram to identify individuals at risk for VVRs to improve the safety of plasma donors.Materials and MethodsWe collected the donation data from July 2019 to June 2020 from a plasma center in Sichuan, China, to explore the independent risk factors for vasovagal reactions. From these data, we constructed and validated a predictive model for vasovagal reactions.ResultsVVRs after plasma donation occurred 737 times in 120 448 plasma donations (0.66%). Gender, season, donor status, weight, pulse, duration of donation, and cycle were independent risk factors for VVRs (P< 0.05). The concordance index (C‐index) of a logistic model in the derivation cohort was 0.916, with a Hosmer‐Lemeshow goodness‐of‐fit probability of 0.795. The C‐index of a logistic model in the validation cohort was 0.916, with a Hosmer‐Lemeshow goodness‐of‐fit probability of 0.224. The calibration curve showed that the predicted results were in good agreement with the actual observed results.ConclusionThis study preliminarily constructed and verified a prediction model for VVRs after plasma donation. The model nomogram is practical and can identify high‐risk donors.